Vincent Adam
Machine Learning Research & Teaching at Universitat Pompeu Fabra
Barcelona, Catalonia, Spain
Summary
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Rockstar🎓
Top SchoolVincent Adam is a machine learning researcher and educator based in Barcelona with 13 years of experience spanning academia and industry. He holds a PhD from UCL and a background in cognitive science, signal processing and theoretical physics, which informs his work on probabilistic modelling, reinforcement learning and optimization. Vincent has transitioned between research-focused roles—postdoctoral positions at Aalto and UPF—and industry research stints at Secondmind and Prowler-io, bridging theory and real-world ML applications. He is skilled at turning principled Bayesian and RL methods into practical solutions for decision-making systems. As a teacher-researcher he combines rigorous publication-grade research with hands-on mentoring and code-driven experimentation. An understated strength is his interdisciplinary fluency, enabling him to translate neuroscientific and physics-informed intuition into scalable ML models.
13 years of coding experience
12 years of employment as a software developer
Master's degree in Cognitive Sciences Sciences Cognitives, Master's degree in Cognitive Sciences Sciences Cognitives at Ecole normale supérieureMaster 1 Theoretical Physic, Master 1 Theoretical Physic at Nantes UniversitéMaster's degree in Engineering Signal processing, Master's degree in Engineering Signal processing at Centrale NantesUniversity College London
German, English
Github Skills (25)
bayesian-statistics10
variational-inference10
manifold10
gaussian-processes10
information-theory10
stochastic-processes10
gpflow10
gaussian10
python9
machine-learning9
espn9
tensorflow9
deep-learning9
probabilistic-models8
ml8
Programming languages (3)
Github contributions (5)
AaltoML/t-SVGP
Oct 2021 - Dec 2021
Codes for 'Dual Parameterization of Sparse Variational Gaussian Processes'
Contributions:4 reviews, 64 commits, 12 PRs in 1 month
parameterizationsparsedualdensity-estimationgaussian
secondmind-labs/markovflow
Sep 2021 - Jul 2022
A Tensorflow based library for Time Series Modelling with Gaussian Processes
Contributions:1 release, 13 reviews, 89 commits in 10 months
information-theorymachine-learninggaussianstochastic-processesprobabilistic-models
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